Alberto Dávalos
- Molecular Biology top 1%
- Cancer Research top 0.5%
- Physiology top 2%
- Biochemistry top 0.2%
- Surgery top 5%
- Co-authors
- Begoña BartoloméCarmen Gómez‐CordovésCarlos Fernández‐HernandoYajaira SuárezFrancesco VisioliMiguel A. LasunciónJoão Tomé‐CarneiroMaría‐Carmen López de las Hazas
- Topics
- MicroRNA in disease regulation (44 papers)Cholesterol and Lipid Metabolism (26 papers)Cancer-related molecular mechanisms research (19 papers)
- Partner nations
- SpainItalyUnited States
In The Last Decade
Alberto Dávalos
140 papers receiving 9.2k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Molecular Biology 4.7k
- Cancer Research 2.6k
- Physiology 1.3k
- Biochemistry 1.2k
- Surgery 1.1k
Countries citing papers authored by Alberto Dávalos
This map shows the geographic impact of Alberto Dávalos's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Alberto Dávalos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Dávalos more than expected).
Fields of papers citing papers by Alberto Dávalos
This network shows the impact of papers produced by Alberto Dávalos. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alberto Dávalos. The network helps show where Alberto Dávalos may publish in the future.
Co-authorship network of co-authors of Alberto Dávalos
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Dávalos. A scholar is included among the top collaborators of Alberto Dávalos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alberto Dávalos. Alberto Dávalos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 15 | |
| 8 | 8 | |
| 9 | 9 | |
| 10 | 24 | |
| 11 | 14 | |
| 12 | 41 | |
| 13 | 60 | |
| 14 | 44 | |
| 15 | MiR-33 Contributes to the Regulation of Cholesterol Homeostasisbreakdown → | 990 |
| 16 | 62 | |
| 17 | 113 | |
| 18 | 69 | |
| 19 | 260 | |
| 20 | ORAC-fluorescein as a model for evaluating antioxidant activity of wines. | 12 |
About Alberto Dávalos
Alberto Dávalos is a scholar working on Cancer Research, Biochemistry and Nutrition and Dietetics, having authored 145 papers that have together received 9.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (44 papers), Cholesterol and Lipid Metabolism (26 papers) and Cancer-related molecular mechanisms research (19 papers). The work is most often cited by research in Biochemistry (1.2k citations), Cancer Research (2.6k citations) and Molecular Biology (4.7k citations). Alberto Dávalos has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Begoña Bartolomé, Carmen Gómez‐Cordovés, Carlos Fernández‐Hernando, Yajaira Suárez, Francesco Visioli, Miguel A. Lasunción, João Tomé‐Carneiro, María‐Carmen López de las Hazas, Edward A. Fisher and Kathryn J. Moore. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.